The interesting data is
a long way from a datacentre
Industrial operations generate their most valuable signals at sites with intermittent connectivity, hostile conditions and equipment older than the cloud itself. Architecture that ignores that reality does not survive first contact with a site visit.
What operations and technology teams bring us
Telemetry that never reaches an analyst
Historians full of high-resolution data that is technically available and practically unreachable, because the link to site cannot carry it and nobody owns the pipeline.
Maintenance scheduled by calendar, not condition
Fixed intervals mean servicing healthy equipment and missing the failure that stops production. The data to do better already exists.
An OT/IT boundary nobody wants to touch
Control systems that must not be exposed, sitting next to a business that needs their data. The usual outcome is a manual export nobody audits.
What we build for industrial operations
Designed for intermittent links, constrained hardware and a safety culture that outranks every technology preference.
Edge-to-cloud telemetry
Local buffering, store-and-forward and edge filtering so a dropped link delays data rather than losing it, and only what matters crosses an expensive connection.
- Store-and-forward with guaranteed delivery
- Edge filtering and aggregation before transmission
- Backfill and reconciliation after outages
Predictive maintenance
Vibration, thermal and current signature models that flag degradation early enough to schedule work into a planned window instead of an unplanned stop.
- Anomaly detection tuned per asset class
- Failure-mode labelling with maintenance teams
- Alerts routed into existing work-order systems
OT/IT boundary architecture
One-way data paths, brokered zones and monitoring designed with your control systems engineers, so the business gets the data without the operation taking on risk.
- Unidirectional data flow patterns
- Segmentation and brokered access zones
- Monitoring that respects safety-instrumented systems
Operational analytics
Production, energy and asset-health reporting from one governed source, so site and head office argue about decisions rather than about whose numbers are right.
- Site-to-enterprise data model
- Energy and emissions reporting pipelines
- Near-real-time production dashboards
Obligations and standards in scope
Safety and critical infrastructure obligations dominate here, and they constrain architecture more than privacy does.
SOCI Act
Security of Critical Infrastructure obligations, including risk management program requirements for responsible entities.
IEC 62443
Industrial automation and control system security, applied at the OT/IT boundary design stage.
Environmental reporting
NGER and related reporting obligations served from the same governed data platform rather than a parallel spreadsheet process.
What industrial clients ask first
Yes — that constraint is the design input. Edge buffering, aggressive filtering and store-and-forward mean the platform tolerates outages of days rather than minutes, and backfills cleanly afterwards.
No. We design for read-only, one-way data extraction at a brokered boundary, developed with your control systems engineers. Nothing we build writes into an operational technology network.
Enough to have seen failures. Twelve to eighteen months of telemetry with corresponding maintenance records is a reasonable starting point; without labelled failures we start with anomaly detection instead of failure prediction.
That is our recommendation. A single-site pilot proves the connectivity assumptions and the model value, and the rollout pattern is then repeatable.
Prove it at one site first
A single-site telemetry and asset-health pilot takes eight to twelve weeks and tells you whether the economics work before you fund a rollout.